Triple
T3239188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imagination Library |
E67926
|
entity |
| Predicate | enrollmentMethod |
P26488
|
FINISHED |
| Object | local community sponsorship and registration |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: local community sponsorship and registration | Statement: [Imagination Library, enrollmentMethod, local community sponsorship and registration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enrollmentMethod Context triple: [Imagination Library, enrollmentMethod, local community sponsorship and registration]
-
A.
enrollmentType
chosen
Indicates the specific category or mode under which an entity is enrolled in a program, service, or system.
-
B.
enrollmentModel
Indicates the type or structure of the enrollment relationship that governs how entities (such as users or participants) are registered or associated with a program, course, or service.
-
C.
enrolledForm
Indicates that an entity is formally registered or signed up to participate in a particular form, program, or course.
-
D.
submissionMethod
Indicates the means or channel through which something is submitted or delivered.
-
E.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef4c0bc819095e4f84296fe7cb6 |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:08 p.m.